In my dataset there are several observations (IDs) with all or too many missing variables. I want to know which IDs have no data (all variables are missing). I used proc freq but it gives me only freqency of variables, which do not serve my purpose. Proc mean nmiss also give me just total missing. I want to know exactly which IDs have missing variables. I searched online but couldn't locate solution of my problem. Help would be appreciated. Below is the sample data;
ID a b c d e
1 . 3 1 2 2
2 . . . . .
3 . . . . .
4 3 . 5 . .
I want result in a way that show me data of ID with complete missing information like;
ID a b c d e
2 . . . . .
3 . . . . .
Thanks
Thanks in advance